[Feature Request]: Implement Onnx operators

[avidiyal]

Request Description

ML.Net models which use ONNX in the backend has some operators which are not supported by OpenVINO

Like "ai.onnx.ml.LabelEncoder, ai.onnx.ml.OneHotEncoder, ai.onnx.ml.Imputer, ai.onnx.ml.FeatureVectorizer, ai.onnx.ml.TreeEnsembleRegressor"

MLnet is becoming more predominantly being used for client usecases.

These are part of ONNX operator support
https://onnx.ai/onnx/operators/onnx_aionnxml_LabelEncoder.html

Feature Use Case

No response

Issue submission checklist

• The feature request or improvement must be related to OpenVINO

[rkazants]

Hi @avidiyal, thanks for the ticket.

@gkrivor, we can support some of these operations in ONNX FE directly (like ai.onnx.ml.FeatureVectorizer, ai.onnx.ml.OneHotEncoder). ai.onnx.ml.LabelEncoder is a sort of Lookup operation already implemented in openvino-tokenizers for TF FE and we can re-use it. ai.onnx.ml.TreeEnsembleRegressor is more for ML domain rather than DL so I have doubt about adding this support.

Best regards,
Roman